{"id":"W2136384144","doi":"10.1007/s13238-014-0071-y","title":"Analysis of the p53/CEP-1 regulated non-coding transcriptome in C. elegans by an NSR-seq strategy","year":2014,"lang":"en","type":"article","venue":"Protein & Cell","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Biology; Transcriptome; Gene; RNA; Caenorhabditis elegans; Genetics; Promoter; Transcription (linguistics); Non-coding RNA; Computational biology; Long non-coding RNA; Transcription factor; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003513995,0.0001927382,0.0002771259,0.00009236741,0.00006309936,0.00002873518,0.0004367497,0.0001971881,0.0000394183],"category_scores_gemma":[0.00001653017,0.0001642004,0.0001617659,0.0003668698,0.00009492004,0.000006024,0.00005023613,0.0001440083,0.000002514937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001394222,"about_ca_system_score_gemma":0.0000445812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003655747,"about_ca_topic_score_gemma":0.0004645349,"domain_scores_codex":[0.9986154,0.0001595565,0.0003308345,0.0004108765,0.0001814052,0.0003019394],"domain_scores_gemma":[0.9990746,0.000005156486,0.0001336563,0.0006428247,0.00006729764,0.00007649503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001973994,0.0001253583,0.003099028,0.00003614933,0.00007341669,3.417628e-7,0.00043204,0.002922347,0.9927647,0.0000167915,0.00006320616,0.0004469393],"study_design_scores_gemma":[0.0004573459,0.0002176279,0.0088105,0.00001117605,0.0001523049,5.221426e-7,0.00009234984,0.007596585,0.9815184,0.00009479203,0.0008302604,0.0002181633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879487,0.0002319713,0.01057049,0.00008371244,0.00004809931,0.000356829,0.00002331293,0.000009368187,0.0007275459],"genre_scores_gemma":[0.9983847,0.00003154139,0.0003151729,0.00009960996,0.00005237984,0.00002000077,0.0001008399,0.00002802423,0.0009677346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124627,"threshold_uncertainty_score":0.6695898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319053765158567,"score_gpt":0.2111033994279377,"score_spread":0.2047843456627791,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}